Senior Cloud Engineer: Automation, Security & Scale

Charter Communications; Raleigh (NC); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Benefits package

Job summary

Charter Communications seeks a Senior Cloud Engineer to join our team, driving automation and improvements across cloud infrastructure. You will identify opportunities, implement scalable solutions, and help ensure reliability for enterprise-scale environments.

The role emphasizes scripting, automation, and collaboration with cross-functional teams, with opportunities to work on AWS, Azure, and Google Cloud platforms within a dynamic enterprise setting.

Qualifications

• Bachelor's degree with 4+ years of related experience; alternative combinations allowed (e.g., master's with 2 years, PhD with up to 1 year, or 8 years).
• Proficient scripting/automation in Python, PowerShell or GoLang in enterprise environments.
• Cloud engineering experience with AWS, Azure, Google Cloud or hybrid setups.
• Experience with Git for source control and collaborative development.

Responsibilities

• Identify and implement improvements in processes, procedures, and technical systems.
• Collaborate cross-functionally to optimize product delivery timelines and service performance.
• Develop and maintain advanced PowerShell scripts for automation and enterprise-scale tooling.
• Design and deploy remediation and automation solutions across large-scale environments.
• Create and maintain Power BI dashboards by integrating multiple data sources.

Skills

Python

PowerShell

GoLang

AWS

Azure

Google Cloud

Git

Power BI

Education

Bachelor's degree

Tools

Terraform

CloudFormation

Job description

Charter Communications seeks a Senior Cloud Engineer to join our team, driving automation and improvements across cloud infrastructure. You will identify opportunities, implement scalable solutions, and help ensure reliability for enterprise-scale environments.

The role emphasizes scripting, automation, and collaboration with cross-functional teams, with opportunities to work on AWS, Azure, and Google Cloud platforms within a dynamic enterprise setting.